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Related Concept Videos

Radiation: Applications01:17

Radiation: Applications

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The average temperature of Earth is the subject of much current discussion. Earth is in radiative contact with both the Sun and dark space; it receives almost all its energy from the radiation of the Sun and reflects some of it into outer space. Dark space is very cold, about 3 K, so Earth radiates energy into it. For instance, heat transfer occurs from soil and grasses, the rate of which can be so rapid that frost can occur on clear summer evenings, even in warm latitudes.
The average...
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Author Spotlight: Improving Radiation Therapy Access with Radiation Planning Assistant
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Internet-based computer technology on radiotherapy.

James C L Chow1

  • 1Department of Radiation Oncology, University of Toronto and Radiation Medicine Program, Princess Margaret Cancer Centre, University Health Network, Toronto, ON M5G 2M9, Canada.

Reports of Practical Oncology and Radiotherapy : Journal of Greatpoland Cancer Center in Poznan and Polish Society of Radiation Oncology
|September 22, 2017
PubMed
Summary
This summary is machine-generated.

New internet technologies like cloud computing and machine learning offer advancements in radiation dose delivery for radiotherapy. Implementation challenges exist, but these innovations show promise for treatment planning and dose delivery.

Keywords:
Big dataCloud computingComputer technologyMachine learningRadiotherapy

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Area of Science:

  • Radiotherapy and Medical Physics
  • Computer Science and Engineering

Background:

  • Rapid advancements in internet-based technologies are emerging.
  • Translational challenges in radiotherapy include complex commissioning and quality assurance.

Purpose of the Study:

  • To review internet-based computer technologies like cloud computing, big data processing, and machine learning.
  • To explore their potential applications in radiotherapy, including treatment planning and dose delivery.

Main Methods:

  • Review of recent literature on internet-based technologies and their application in radiotherapy.
  • Discussion of implementation processes, including algorithm design, infrastructure, clinical policies, and collaboration.

Main Results:

  • Identified novel applications of cloud computing, big data processing, and machine learning in radiotherapy.
  • Highlighted the time-consuming nature of implementation, involving software, hardware, and collaboration.

Conclusions:

  • Internet-based technologies offer significant potential for advancing radiotherapy treatment planning and dose delivery.
  • Overcoming implementation challenges is crucial for realizing the full benefits of these innovations in clinical practice.